Understanding U.S. Economic Patterns Using the Diffusion Index

By Cynthia Folajimi

This presentation introduces a Predictive Text Model designed to predict the next word in a user-provided phrase. Built using N-gram Language Modeling (unigrams, bigrams, and trigrams), the model leverages real-world text data sourced from blogs, news articles, and Twitter. The model is deployed as an interactive Shiny App that provides real-time word predictions, enhancing typing efficiency and user experience.